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1.
Design And Implementation Of GSM Network Interference Identification Software
2.
Development Of Several Binary Tree Algorithms And Isabelle Machine-Aided Proof
3.
Sliding Mode Based Data-driven Adaptive Learning Control Method
4.
Optimization-based machine learning and data mining
5.
A feature-based linear data model supported by temporal dynamic segmentation
6.
A statistical implementation of feedforward neural networks for univariate time series forecasting
7.
Research On Discrete Sliding Mode Control Based On Dynamic Linear Data Model
8.
Feature Selection Algorithm And Its Research And Application In Causal Discovery
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